# fengdu78/Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

Repository: https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes
Canonical: https://ross.abutalabs.com/products/coursera-ml-andrewng-notes
Language: HTML
License Family: other
Topics: coursera, machine-learning
Last push: 2025-08-25T04:02:38+00:00

## Health v2 (maintenance only)
Score: 49/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 38, release rhythm 35, longevity 100
- inputs: {"age_days": 3224, "days_push": 373, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 37634, forks 11185 (observed 2026-08-28T04:12:01.502894+00:00)

## What it is
A collection of Chinese-language study notes for Andrew Ng's Stanford 2014 Coursera Machine Learning course, available in Markdown, Word, HTML, and PDF formats. It also includes course PPT slides, Chinese/English subtitles, and Python code for the course exercises.

## Use cases
- learn machine learning fundamentals in Chinese
- study Andrew Ng's Coursera ML course with written notes
- find Chinese translations of ML course subtitles
- review supervised and unsupervised learning concepts
- get Python code examples for classic ML course assignments
- download course slides and notes for offline study

## When to choose
- you are a Chinese-speaking learner following Andrew Ng's classic ML course
- you want free, well-organized notes covering regression, neural networks, SVMs, clustering, and more
- you need course subtitles, slides, and code alongside the notes

## When to avoid
- you need up-to-date material on modern deep learning or LLMs, as the course dates from 2014
- you require English-only learning resources
- you need maintained software or a library rather than study notes

## Facets
- artifact type: learning-resource
- maturity: stable
- function: machine-learning, documentation, data-science
- domain: machine-learning, education, tutorials, artificial-intelligence
- platform: cross-platform
- tags: coursera, andrew-ng, chinese-notes, course-notes, study-material, markdown-notes, lecture-subtitles, web-server

## Member repositories
- fengdu78/Coursera-ML-AndrewNg-Notes (main) score 49

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:01.502894+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:25:22.968833+00:00, confidence not recorded.
  - readme: https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes (fetched 2026-08-28T04:12:01.502894+00:00, sha eae2afa40341)
- Data as of 2026-08-30T08:39:29.467469+00:00.